Get Prepared for Your ARA-C01 Exam With Actual 162 Questions [Q74-Q93]

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Get Prepared for Your ARA-C01 Exam With Actual 162 Questions

Valid ARA-C01 Test Answers Full-length Practice Certification Exams

Snowflake ARA-C01 exam is divided into four different sections, each focusing on a specific area of Snowflake architecture. These sections include Snowflake Architecture and Design, Data Warehousing, Data Processing, and Data Integration. ARA-C01 exam is a computer-based test and is administered through a third-party exam provider.

Q74. A company has a table with that has corrupted data, named Data. The company wants to recover the data as it was 5 minutes ago using cloning and Time Travel.
What command will accomplish this?

CREATE CLONE TABLE Recover_Data FROM Data AT(OFFSET => -60*5);

CREATE CLONE Recover_Data FROM Data AT(OFFSET => -60*5);

CREATE TABLE Recover_Data CLONE Data AT(OFFSET => -60*5);

CREATE TABLE Recover Data CLONE Data AT(TIME => -60*5);

Q75. A company needs to have the following features available in its Snowflake account:
1. Support for Multi-Factor Authentication (MFA)
2. A minimum of 2 months of Time Travel availability
3. Database replication in between different regions
4. Native support for JDBC and ODBC
5. Customer-managed encryption keys using Tri-Secret Secure
6. Support for Payment Card Industry Data Security Standards (PCI DSS)
In order to provide all the listed services, what is the MINIMUM Snowflake edition that should be selected during account creation?

Standard

Enterprise

Business Critical

Virtual Private Snowflake (VPS)

Q76. A company is designing high availability and disaster recovery plans and needs to maximize redundancy and minimize recovery time objectives for their critical application processes. Cost is not a concern as long as the solution is the best available. The plan so far consists of the following steps:
1. Deployment of Snowflake accounts on two different cloud providers.
2. Selection of cloud provider regions that are geographically far apart.
3. The Snowflake deployment will replicate the databases and account data between both cloud provider accounts.
4. Implementation of Snowflake client redirect.
What is the MOST cost-effective way to provide the HIGHEST uptime and LEAST application disruption if there is a service event?

Connect the applications using the <organization_name>-<connection_name> URL. Use the Business Critical Snowflake edition.

Connect the applications using the <organization_name>-<connection_name> URL. Use the Virtual Private Snowflake (VPS) edition.

Connect the applications using the <organization_name>-<accountLocator> URL. Use the Enterprise Snowflake edition.

Connect the applications using the <organization_name>-<accountLocator> URL. Use the Business Critical Snowflake edition.

Q77. When loading data into a table that captures the load time in a column with a default value of either CURRENT_TIME () or CURRENT_TIMESTAMP () what will occur?

All rows loaded using a specific COPY statement will have varying timestamps based on when the rows were inserted.

Any rows loaded using a specific COPY statement will have varying timestamps based on when the rows were read from the source.

Any rows loaded using a specific COPY statement will have varying timestamps based on when the rows were created in the source.

All rows loaded using a specific COPY statement will have the same timestamp value.

Q78. When loading data into a table that captures the load time in a column with a default value of either CURRENT_TIME () or CURRENT_TIMESTAMP() what will occur?

All rows loaded using a specific COPY statement will have varying timestamps based on when the rows were inserted.

Any rows loaded using a specific COPY statement will have varying timestamps based on when the rows were read from the source.

Any rows loaded using a specific COPY statement will have varying timestamps based on when the rows were created in the source.

All rows loaded using a specific COPY statement will have the same timestamp value.

Q79. Which technique will efficiently ingest and consume semi-structured data for Snowflake data lake workloads?

IDEF1X

Schema-on-write

Schema-on-read

Information schema

Q80. A table contains five columns and it has millions of records. The cardinality distribution of the columns is shown below:

Column C4 and C5 are mostly used by SELECT queries in the GROUP BY and ORDER BY clauses. Whereas columns C1, C2 and C3 are heavily used in filter and join conditions of SELECT queries.
The Architect must design a clustering key for this table to improve the query performance.
Based on Snowflake recommendations, how should the clustering key columns be ordered while defining the multi-column clustering key?

C5, C4, C2

C3, C4, C5

C1, C3, C2

C2, C1, C3

Q81. A company has several sites in different regions from which the company wants to ingest data.
Which of the following will enable this type of data ingestion?

The company must have a Snowflake account in each cloud region to be able to ingest data to that account.

The company must replicate data between Snowflake accounts.

The company should provision a reader account to each site and ingest the data through the reader accounts.

The company should use a storage integration for the external stage.

Q82. The endpoint insertFiles of SnowPipe rest API is used to inform Snowflake about the files to be ingested into a table. Select the two statements for this end point.

The post can contain at most 5000 files.

Each file path given must be <= 1024 bytes long when serialized as UTF-8

The post can contain unlimited number of files.

Q83. A company’s Architect needs to find an efficient way to get data from an external partner, who is also a Snowflake user. The current solution is based on daily JSON extracts that are placed on an FTP server and uploaded to Snowflake manually. The files are changed several times each month, and the ingestion process needs to be adapted to accommodate these changes.
What would be the MOST efficient solution?

Ask the partner to create a share and add the company’s account.

Ask the partner to use the data lake export feature and place the data into cloud storage where Snowflake can natively ingest it (schema-on-read).

Keep the current structure but request that the partner stop changing files, instead only appending new files.

Ask the partner to set up a Snowflake reader account and use that account to get the data for ingestion.

The most efficient solution is to ask the partner to create a share and add the company’s account (Option A). This way, the company can access the live data from the partner without any data movement or manual intervention. Snowflake’s secure data sharing feature allows data providers to share selected objects in a database with other Snowflake accounts. The shared data is read-only and does not incur any storage or compute costs for the data consumers. The data consumers can query the shared data directly or create local copies of the shared objects in their own databases. Option B is not efficient because it involves using the data lake export feature, which is intended for exporting data from Snowflake to an external data lake, not for importing data from another Snowflake account. The data lake export feature also requires the data provider to create an external stage on cloud storage and use the COPY INTO <location> command to export the data into parquet files. The data consumer then needs to create an external table or a file format to load the data from the cloud storage into Snowflake. This process can be complex and costly, especially if the data changes frequently. Option C is not efficient because it does not solve the problem of manual data ingestion and adaptation. Keeping the current structure of daily JSON extracts on an FTP server and requesting the partner to stop changing files, instead only appending new files, does not improve the efficiency or reliability of the data ingestion process. The company still needs to upload the data to Snowflake manually and deal with any schema changes or data quality issues. Option D is not efficient because it requires the partner to set up a Snowflake reader account and use that account to get the data for ingestion. A reader account is a special type of account that can only consume data from the provider account that created it. It is intended for data consumers who are not Snowflake customers and do not have a licensing agreement with Snowflake. A reader account is not suitable for data ingestion from another Snowflake account, as it does not allow uploading, modifying, or unloading data. The company would need to use external tools or interfaces to access the data from the reader account and load it into their own account, which can be slow and expensive. Reference: The answer can be verified from Snowflake’s official documentation on secure data sharing, data lake export, and reader accounts available on their website. Here are some relevant links:
Introduction to Secure Data Sharing | Snowflake Documentation
Data Lake Export Public Preview Is Now Available on Snowflake | Snowflake Blog Managing Reader Accounts | Snowflake Documentation

Q84. Snowflake data replication can be used to replicate data between cloud providers.

TRUE

FALSE

Q85. Which of the below commands will use warehouse credits?

SHOW TABLES LIKE ‘SNOWFL%’;

SELECT MAX(FLAKE_ID) FROM SNOWFLAKE;

SELECT COUNT(*) FROM SNOWFLAKE;

SELECT COUNT(FLAKE_ID) FROM SNOWFLAKE GROUP BY FLAKE_ID;

Q86. A Snowflake Architect is designing a multi-tenant application strategy for an organization in the Snowflake Data Cloud and is considering using an Account Per Tenant strategy.
Which requirements will be addressed with this approach? (Choose two.)

There needs to be fewer objects per tenant.

Security and Role-Based Access Control (RBAC) policies must be simple to configure.

Compute costs must be optimized.

Tenant data shape may be unique per tenant.

Storage costs must be optimized.

Q87. A Snowflake Architect is designing an application and tenancy strategy for an organization where strong legal isolation rules as well as multi-tenancy are requirements.
Which approach will meet these requirements if Role-Based Access Policies (RBAC) is a viable option for isolating tenants?

Create accounts for each tenant in the Snowflake organization.

Create an object for each tenant strategy if row level security is viable for isolating tenants.

Create an object for each tenant strategy if row level security is not viable for isolating tenants.

Create a multi-tenant table strategy if row level security is not viable for isolating tenants.

Q88. What will happen if you try to ALTER a COLUMN(which has NULL values) to set it to NOT NULL

An error is returned and no changes are applied to the column

Snowflake automatically assigns a default value and let the change happen

Snowflake drops the row and let the change happen

Q89. Which of the below objects cannot be replicated?

Resource Monitors

Warehouses

Users

Databases

Roles

Q90. What is a key consideration when setting up search optimization service for a table?

Search optimization service works best with a column that has a minimum of 100 K distinct values.

Search optimization service can significantly improve query performance on partitioned external tables.

Search optimization service can help to optimize storage usage by compressing the data into a GZIP format.

The table must be clustered with a key having multiple columns for effective search optimization.

Search optimization service is a feature of Snowflake that can significantly improve the performance of certain types of lookup and analytical queries on tables. Search optimization service creates and maintains a persistent data structure called a search access path, which keeps track of which values of the table’s columns might be found in each of its micro-partitions, allowing some micro-partitions to be skipped when scanning the table1.
Search optimization service can significantly improve query performance on partitioned external tables, which are tables that store data in external locations such as Amazon S3 or Google Cloud Storage. Partitioned external tables can leverage the search access path to prune the partitions that do not contain the relevant data, reducing the amount of data that needs to be scanned and transferred from the external location2.
The other options are not correct because:
A) Search optimization service works best with a column that has a high cardinality, which means that the column has many distinct values. However, there is no specific minimum number of distinct values required for search optimization service to work effectively. The actual performance improvement depends on the selectivity of the queries and the distribution of the data1.
C) Search optimization service does not help to optimize storage usage by compressing the data into a GZIP format. Search optimization service does not affect the storage format or compression of the data, which is determined by the file format options of the table. Search optimization service only creates an additional data structure that is stored separately from the table data1.
D) The table does not need to be clustered with a key having multiple columns for effective search optimization. Clustering is a feature of Snowflake that allows ordering the data in a table or a partitioned external table based on one or more clustering keys. Clustering can improve the performance of queries that filter on the clustering keys, as it reduces the number of micro-partitions that need to be scanned. However, clustering is not required for search optimization service to work, as search optimization service can skip micro-partitions based on any column that has a search access path, regardless of the clustering key3.
Reference:
1: Search Optimization Service | Snowflake Documentation
2: Partitioned External Tables | Snowflake Documentation
3: Clustering Keys | Snowflake Documentation

Q91. An Architect needs to meet a company requirement to ingest files from the company’s AWS storage accounts into the company’s Snowflake Google Cloud Platform (GCP) account. How can the ingestion of these files into the company’s Snowflake account be initiated? (Select TWO).

Configure the client application to call the Snowpipe REST endpoint when new files have arrived in Amazon S3 storage.

Configure the client application to call the Snowpipe REST endpoint when new files have arrived in Amazon S3 Glacier storage.

Create an AWS Lambda function to call the Snowpipe REST endpoint when new files have arrived in Amazon S3 storage.

Configure AWS Simple Notification Service (SNS) to notify Snowpipe when new files have arrived in Amazon S3 storage.

Configure the client application to issue a COPY INTO <TABLE> command to Snowflake when new files have arrived in Amazon S3 Glacier storage.

Snowpipe is a feature that enables continuous, near-real-time data ingestion from external sources into Snowflake tables. Snowpipe can ingest files from Amazon S3, Google Cloud Storage, or Azure Blob Storage into Snowflake tables on any cloud platform. Snowpipe can be triggered in two ways: by using the Snowpipe REST API or by using cloud notifications2 To ingest files from the company’s AWS storage accounts into the company’s Snowflake GCP account, the Architect can use either of these methods:
Configure the client application to call the Snowpipe REST endpoint when new files have arrived in Amazon S3 storage. This method requires the client application to monitor the S3 buckets for new files and send a request to the Snowpipe REST API with the list of files to ingest. The client application must also handle authentication, error handling, and retry logic3 Create an AWS Lambda function to call the Snowpipe REST endpoint when new files have arrived in Amazon S3 storage. This method leverages the AWS Lambda service to execute a function that calls the Snowpipe REST API whenever an S3 event notification is received. The AWS Lambda function must be configured with the appropriate permissions, triggers, and code to invoke the Snowpipe REST API4 The other options are not valid methods for triggering Snowpipe:
Configure the client application to call the Snowpipe REST endpoint when new files have arrived in Amazon S3 Glacier storage. This option is not feasible because Snowpipe does not support ingesting files from Amazon S3 Glacier storage, which is a long-term archival storage service. Snowpipe only supports ingesting files from Amazon S3 standard storage classes5 Configure AWS Simple Notification Service (SNS) to notify Snowpipe when new files have arrived in Amazon S3 storage. This option is not applicable because Snowpipe does not support cloud notifications from AWS SNS. Snowpipe only supports cloud notifications from AWS SQS, Google Cloud Pub/Sub, or Azure Event Grid6 Configure the client application to issue a COPY INTO <TABLE> command to Snowflake when new files have arrived in Amazon S3 Glacier storage. This option is not relevant because it does not use Snowpipe, but rather the standard COPY command, which is a batch loading method. Moreover, the COPY command also does not support ingesting files from Amazon S3 Glacier storage7 Reference:
1: SnowPro Advanced: Architect | Study Guide 8
2: Snowflake Documentation | Snowpipe Overview 9
3: Snowflake Documentation | Using the Snowpipe REST API 10
4: Snowflake Documentation | Loading Data Using Snowpipe and AWS Lambda 11
5: Snowflake Documentation | Supported File Formats and Compression for Staged Data Files 12
6: Snowflake Documentation | Using Cloud Notifications to Trigger Snowpipe 13
7: Snowflake Documentation | Loading Data Using COPY into a Table
: SnowPro Advanced: Architect | Study Guide
: Snowpipe Overview
: Using the Snowpipe REST API
: Loading Data Using Snowpipe and AWS Lambda
: Supported File Formats and Compression for Staged Data Files
: Using Cloud Notifications to Trigger Snowpipe
: Loading Data Using COPY into a Table

Q92. A user has activated primary and secondary roles for a session.
What operation is the user prohibited from using as part of SQL actions in Snowflake using the secondary role?

Insert

Create

Delete

Truncate

Q93. You have created a table as below
CREATE TABLE SNOWFLAKE (FLAKE_ID INTEGER, UDEMY_COURSE VARCHAR);
Which of the below select query will fail for this table?

SELECT * from snowflake;

SELECT * from Snowflake;

SELECT * from “snowflake”;

SELECT * FROM “SNOWFLAKE”;

Snowflake ARA-C01 certification is a valuable credential for architects and consultants who work with Snowflake. It demonstrates a deep understanding of Snowflake’s architecture, data modeling, and performance tuning, which are essential skills for designing and implementing scalable data warehousing solutions. Employers also recognize the value of this certification, as it validates an individual’s expertise and can help them stand out in a competitive job market.

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